搜索资源列表
Multistep-Wind-Speed-Forecasting-Based-on-Wavelet
- Considering the randomness and volatility of wind, a method based on B-spline neural network optimized by particle swarm optimization is proposed to predict the short-term wind speed
24567507qpso-svm
- 一个粒子群优化的支持向量机,运行过的,很好用,供初学者参考-A particle swarm optimization support vector machine (SVM), running, useful, reference for beginners
pso
- 标准群算法的matlab实现函数,带有两个demo-Standard swarm algorithm matlab achieve function with two demo
rgyq
- 人工鱼群算法的实现代码,有效处理优化寻优问题,比遗传算法、PSO具有更好的优化效果-Artificial fish swarm algorithm code to deal effectively optimize the optimization problem, with better optimization results than the genetic algorithm
DPSO
- 离散粒子群算法。粒子群算法原来只能处理连续变量,算法进行了改进,可以处理离散变量-Discrete particle swarm optimization algorithm, particle swarm optimization algorithm can only deal with continuous variables, the algorithm is improved, can handle discrete variables
SVC
- 建立LibSVM预测模型,基于网格算法、粒子群算法、遗传算法优化了模型参数,并由最终模型预测了给定切削参数下零件的粗糙度等级。-Establish LibSVM prediction model, grid-based algorithm, particle swarm optimization, genetic algorithm to optimize the parameters of the model, the final model prediction given by the c
Wind-Speed-Combined-Prediction
- 针对风电场短期风速的预测提出一种基于小波变换的组合预测方法。首先利用Mallat 算法对短期风速时间序列进行db3 小波三层分解与重构,得到短期风速时间序列的近似分量和细节分量。针对近似分量和细节分量的不同特性,对近似分量利用粒子群算法优化的最小二乘支持向量机进行预测,对细节分量利用自回归求和滑动平均模型进行预测。最后各预测模型预测值组合叠加得到最终的短期风速预测值。仿真结果表明该方法具有较高的预测准确度。-In order to improve short-term wind speed pr